PGMODAYS 2026: PGMODAYS 2026

This page contains an index consisting of author-provided keywords.

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$\ell_0$ norm	On $\ell_0$-Regularized Sparse Multiple Kernel Learning for Feature Selection
A
abnormal extremals
Abnormal minimizers	Branching of regular abnormal geodesics in sub-Riemannian manifolds of rank two
actor-critic reinforcement learning	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
Adjoint state method	The adjoint state method for parametric definable optimization without smoothness or uniqueness
ADMM	Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks
Adversarial Attacks	Black-box adversarial attacks on SPD Networks
Aggregation	Through the G-Polymatroid Glass and What Unit Commitment Finds There
Airborne Wind Energy	Generating electricity with a kite -- optimization and bifurcation analysis
algorithm design	Optimized Projection-Free Algorithms for Online Learning: Construction and Worst-Case Analysis
Algorithm Selection	Online Algorithm Selection: from Foundations to Applications
Algorithmic Bias	What is the Objective? Investigating Design Decisions in Continuous Multi-Objective Optimization
Alternating Direction Method of Multipliers	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Analysis	opt-syn: Analysis and Synthesis of First-Order Algorithms
Analytical approximation	Linear Analytical Model for Static Traffic Assignment: Explicit Formulation and Optimization-Oriented Applications
anchor robustness	Anchor Robustness and Resource Leveling in Project Scheduling
Anytime Algorithms	Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization
Aperiodic Canons	Aperiodic Tiling Rhythmic Canons
approximate dynamic programming	Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
approximation	Optimizing Factorable Losses via a Change of Variable: Properties and Computational Opportunities Anchor Robustness and Resource Leveling in Project Scheduling
Asymptotic geometry	Metric limits of sub-Finsler Lie groups
Attention	Attention based mechanisms in clustering and PCA
automated market maker	An Automated Market Maker for Energy Sharing: From Theory to Verifiable Settlement
B
Backcasting	Linear Analytical Model for Static Traffic Assignment: Explicit Formulation and Optimization-Oriented Applications
backward stochastic Hamilton--Jacobi--Bellman equations	Regularization by Common Noise for Mean Field Games and Mean Field Control
Baldwin effect	A Fresh Look at Lamarckian Evolution and the Baldwin Effect
Batch scheduling	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
Battery electric trucks	Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization
Battery storage systems	Convex optimization in intraday electricity markets Statistics and optimization in intraday electricity markets
Benders decomposition	Benders decomposition with cut selection for long-term generation and storage capacity expansion problems
Benign landscape	Benign Landscape Of Nonconvex Low-dimensional Relaxation Of Orthogonal Synchronization With Group-symmetric Dual Certificates
BESS	Opportunities in Algorithmic Trading for Battery Energy Storage in Short-Term Electricity Markets
Best-Response algorithm	Competitive Menu Pricing for Electric Vehicle Charging Stations
bi-objective optimization	A New Bi-Objective View of Bundle Methods
Bifurcation Analysis	Generating electricity with a kite -- optimization and bifurcation analysis
Big data clustering	Multimodal Optimization of K-means Clustering
Bike Sharing	Choice-Based Dynamic Pricing with Deferred Departures in Bike-Sharing Networks
Bilevel optimization	Surrogate-Based Optimization for Adversarial Sonar Placement Single-Level Reformulations for Network Pricing under Wardrop Equilibrium with Separable Affine Costs Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
bilevel programming	Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
black-box optimization	Black-box adversarial attacks on SPD Networks Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization SS-TEA: Search-Supervised Transformer Edge Addition for Black-Box Graph Intervention Reinforcement Learning for Solving Multimodal Functions with CMA-ES
Blackbox Optimization	Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty
blockchain	An Automated Market Maker for Energy Sharing: From Theory to Verifiable Settlement
Borel measures	Convergence rates for the moment-SoS hierarchy
box archiving	Specification of the GDEMO-II Variant for Box Archiving
Box-constrained quadratic programming	Spectral-Gauge Cuts for Semidefinite Optimization
branch-and-bound	Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound
Branching of optimal trajectories	Branching of regular abnormal geodesics in sub-Riemannian manifolds of rank two
Breakdown Point	Quadratically Regularised Wasserstein Medians
BSDEs	On the notion of Wasserstein BSDE and its applications
Building energy management	Optimization of the energy consumption of buildings
bundle methods	A New Bi-Objective View of Bundle Methods BundleSolver 2.0: A Modular Implementation of Generalized Bundle Methods
Burer-Monteiro factorization	Trust-region methods for Burer-Monteiro factorizations of phase retrieval problems
C
Capacity expansion	Benders decomposition with cut selection for long-term generation and storage capacity expansion problems
Car sharing	Large-Scale Analysis of Multi-Scale Queuing Networks for Car-Sharing Systems
Causal Rescheduling	Online Combinatorial Learning with Causal Rescheduling for EV Charging
Chance Constraints	Eventual convexity for separable chance constraints with skewed generalized hyperbolic random variables Chance-constrained Linear Complementarity Problems
Charging station	Competitive Menu Pricing for Electric Vehicle Charging Stations
chordal graphs	Sparse Relaxations and Learned Structure for Large-Scale Polynomial Optimization
Clarke subdifferential	Pontryagin maximum principle for non-smooth state-constrained control problems over Wasserstein spaces
Clarke Subgradient	On convergence rates of subgradient descent on semialgebraic functions
Clustering	Attention based mechanisms in clustering and PCA
CMA-ES	Reinforcement Learning for Solving Multimodal Functions with CMA-ES
Co-investment	Market Equilibrium based Co-Opetitive Infrastructure Sharing
coercivity
Collaborative Vehicle Routing	Pricing for Deliveries Pooling
Column generation	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
column-and-constraint generation	Single-Level Reformulations for Network Pricing under Wardrop Equilibrium with Separable Affine Costs
Combinatorial Bandits	Online Combinatorial Learning with Causal Rescheduling for EV Charging
Combinatorial Optimisation	On the Complexity of some Unicity Problems
Combinatorial Optimization	Through the G-Polymatroid Glass and What Unit Commitment Finds There Target-Volume Formulations in the Hydro Unit Commitment Problem Using statistical learning in Operations Research: Generalization Bounds and Diffusion Models SS-TEA: Search-Supervised Transformer Edge Addition for Black-Box Graph Intervention Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints Combinatorial Optimization for Energy-Efficient In-Network Learning
common noise	Regularization by Common Noise for Mean Field Games and Mean Field Control
Complementarity constraints	Interior-point methods for large-scale equilibrium problems
complex-valued optimization	A Complex-Valued Continuous-Variable Quantum Approximation Optimization Algorithm (CCV-QAOA)
complexity	Anchor Robustness and Resource Leveling in Project Scheduling
Complexity Theory	Graph powers for robust optimization On the Complexity of some Unicity Problems
Computational toolbox	ProbLiM: A Julia Toolbox for Linear Problems with Chance Constraints
computer-aided optimization
Computer-aided proofs	Computer-Aided Proofs in First-Order Optimization, with Applications to Error Feedback Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
computing	An alternative exploration of the solutions space for the Travelling Salesman Problem leveraging a warm-start and a preserving mixer to extend a recent proposal
Conditional gradient method	A conditional gradient approach to regularized mean field optimization problems
conic programming	The adjoint state method for parametric definable optimization without smoothness or uniqueness
conjugate points	Second-order optimality conditions in geometric optimal control
conservative field	The adjoint state method for parametric definable optimization without smoothness or uniqueness
conservative mappings	Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
Continuity equation	Pontryagin maximum principle for non-smooth state-constrained control problems over Wasserstein spaces
Continuous-variable quantum computing	A Complex-Valued Continuous-Variable Quantum Approximation Optimization Algorithm (CCV-QAOA)
Control theory
Control-linear systems	Branching of regular abnormal geodesics in sub-Riemannian manifolds of rank two
Controllability	Approximate Controllability of Volume-preserving Diffeomorphisms
Convergence	opt-syn: Analysis and Synthesis of First-Order Algorithms
Convex and non-convex optimisation	A Unified alpha-Procrustes geometry for finite- and infinite-dimensional positive operators
convex embeddings	Convergence rates for the moment-SoS hierarchy
convex optimization	Convergence Rates for Stochastic Proximal Methods via Regularized Optimality Gaps
Convex programming	Convex optimization in intraday electricity markets
Convexity	Chance-constrained Linear Complementarity Problems
Coordinate descent	Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
correlation matrices	Exact Extremal Optimization for Wrong-Sign Entries in Equal-Diagonal Symmetric Matrices
Cost Allocation	Pricing for Deliveries Pooling
cost optimization	Profit-Optimized Maintenance Task Clustering for Gas-Insulated Substations
Critical points	Landscape Analysis for Shallow Neural Networks: Complete Classification of Critical Points for Cubic Activation and Affine Target Functions
cross-size generalization	SS-TEA: Search-Supervised Transformer Edge Addition for Black-Box Graph Intervention
Cut selection	Benders decomposition with cut selection for long-term generation and storage capacity expansion problems
Cutting-plane methods	Spectral-Gauge Cuts for Semidefinite Optimization
D
Data Granularity	Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
Data-driven security assessment	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
deadlines	Sensitivity of GPU Scheduling Rules to Runtime Estimation Error
Decarbonisation	Coupled Investments in SMRs and Industrial Sites: a Real Options Analysis
Decentralization	Decomposition of Convex Large Scale Stochastic Optimization Problems
decentralized algorithms	Geometric Routing in Geometric Inhomogeneous Random Graphs
Decision Focused Learning	Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints
decision-dependent distributions	Monotone Inclusions for Decision-Dependent Stochastic Problems
decision-dependent uncertainty	Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound
decision-focused learning	Combinatorial Optimization Augmented Machine Learning for Dynamic Electric Autonomous Dial-a-Ride Problem Decision-Focused Policies for Microgrid Energy Management
decision-making	Collective Algorithms for Exploration and Decision-Making
Decision-making under uncertainty	Integrated Model for Optimization and Machine Learning: the Case of Predictive Maintenance
Decomposition	Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Decomposition approach	Target-Volume Formulations in the Hydro Unit Commitment Problem
decomposition methods	Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks Stronger Decomposition Cuts for Stochastic Unit Commitment Using Interval Variables
Deep Galerkin Method	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
Deep Learning	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
degenerate diffusions	Neural Feedback Learning for Stochastic Control with Degenerate Diffusions: Quantitative Error Estimates and Numerical Experiments
Demand response	Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
derivative-informed neural operator	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
Design	opt-syn: Analysis and Synthesis of First-Order Algorithms
differentiable optimization	Decision-Focused Policies for Microgrid Energy Management
differential calculus on measure spaces	Wasserstein-Fisher-Rao differential calculus and optimal control of weighted particle systems
differential games	From Random Games to Deterministic Limits: A Differential-Game Approach to Homogenization
differential inclusion	Superposition Principles for Perturbed Sweeping Processes and Differential Inclusions
Differential inclusions	Stochastic analysis of an emergency service with two levels sharing the servers
diffusion models	Using statistical learning in Operations Research: Generalization Bounds and Diffusion Models
discrete optimization	Quantum Approaches to Multi-Objective Optimization
Discretization	Combinatorial Optimization in Function Space
dissipativity	Performance of Deterministic and Stochastic Model Predictive Control
Distributed Energy Resources	Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty
distributed optimization	Computer-Aided Proofs in First-Order Optimization, with Applications to Error Feedback
Distribution grid	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
distributionally robust optimization	Exact Reformulation for Nonconvex Wasserstein DRO: Application to Day-Ahead Renewable Nomination Around distributional robustness and generalization in stochastic optimization
Dominated strategy	Survival of Dominated Strategies under Standard No-Regret Dynamics
Douglas-Rachford Splitting	Decomposition of Convex Large Scale Stochastic Optimization Problems
Dual Approximate Dynamic Programming	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Dual representation	Numerical bounds for European option prices in uncertainty volatility model
Dualization	Combinatorial Optimization in Function Space
dynamic adaptive distribution network tariffs	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
dynamic algorithm configuration	Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning
Dynamic Barrier	On Stochastic Nonconvex Bilevel Optimization
dynamic dial-a-ride problem	Combinatorial Optimization Augmented Machine Learning for Dynamic Electric Autonomous Dial-a-Ride Problem
Dynamic Parameter Control	Reinforcement Learning for Solving Multimodal Functions with CMA-ES
dynamic pricing	Pricing for Real-Time Ride-Sharing with Random Demand and Supply
Dynamic programming	Lagrangian heuristic for a food lot-sizing problem Convex optimization in intraday electricity markets
Dynamical systems	Convergence of Optimizers Implies Eigenvalues Filtering at Equilibrium
E
Economic mechanisms	A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
electric autonomous vehicles	Combinatorial Optimization Augmented Machine Learning for Dynamic Electric Autonomous Dial-a-Ride Problem
Electric vehicle	Competitive Menu Pricing for Electric Vehicle Charging Stations
electricity market	Computing Projected solutions of Nash games : from theory to electricity markets
electricity markets	Exact Reformulation for Nonconvex Wasserstein DRO: Application to Day-Ahead Renewable Nomination Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Electricity retail	Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
empirical subgradients	Convergence of empirical subgradients for optimal transport-based objectives
end-to-end learning	Decision-Focused Policies for Microgrid Energy Management
Energy Disaggregation	Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
Energy Management	Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
Energy systems	Benders decomposition with cut selection for long-term generation and storage capacity expansion problems Scheduling of Nuclear Power Plant Outages under Duration Uncertainty
Ensembles of points	Approximate Controllability of Volume-preserving Diffeomorphisms
Equilibrium	A New Solution Concept for Games Allowing for Infeasibility
Equilibrium problem	Interior-point methods for large-scale equilibrium problems
error estimates	Neural Feedback Learning for Stochastic Control with Degenerate Diffusions: Quantitative Error Estimates and Numerical Experiments
error feedback	Computer-Aided Proofs in First-Order Optimization, with Applications to Error Feedback
EV Charging	Online Combinatorial Learning with Causal Rescheduling for EV Charging
Eventual convexity	Eventual convexity for separable chance constraints with skewed generalized hyperbolic random variables
evolutionary algorithms	A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization Specification of the GDEMO-II Variant for Box Archiving Online Algorithm Selection: from Foundations to Applications
evolutionary computation	EvoHGS: Co-evolving Language Models with Hybrid Genetic Search for Vehicle Routing Problems
evolutionary multi-objective optimization	Full-Dimensional Many-Objective Benchmarks for Discrete Multi-Objective Optimization
Existence	Chance-constrained Linear Complementarity Problems
experimental	An alternative exploration of the solutions space for the Travelling Salesman Problem leveraging a warm-start and a preserving mixer to extend a recent proposal
Explainable artificial intelligence	On the Explainability of Max-Plus Neural Networks
F
fairness in sports	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League
Fictitious play	Learning controls in mean games and mean field control problems
First-Order Methods	Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization Probability Maximization via Marginal Assesment of Joint Uncertainties
First-order optimization	Simple Proofs, and How to Find Them
Fisher markets	Market Equilibrium based Co-Opetitive Infrastructure Sharing
Flat derivatives on space of measure	A conditional gradient approach to regularized mean field optimization problems
Flow-based market coupling	Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Fluid limit	Stochastic analysis of an emergency service with two levels sharing the servers
Fluid limits	Large-Scale Analysis of Multi-Scale Queuing Networks for Car-Sharing Systems
Food supply chain	Lagrangian heuristic for a food lot-sizing problem
forward-backward splitting	Monotone Inclusions for Decision-Dependent Stochastic Problems
Fredholm equations	Trading with market resistance and concave price impact
G
Game theory	Survival of Dominated Strategies under Standard No-Regret Dynamics Coupled Investments in SMRs and Industrial Sites: a Real Options Analysis
Games	Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies
gas-insulated substations	Profit-Optimized Maintenance Task Clustering for Gas-Insulated Substations
GDEMO	Specification of the GDEMO-II Variant for Box Archiving
generalisation error	Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
generalization	Around distributional robustness and generalization in stochastic optimization
Generalized flow	A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
Generalized Games	A New Solution Concept for Games Allowing for Infeasibility
Generalized hyperbolic distributions	Eventual convexity for separable chance constraints with skewed generalized hyperbolic random variables
Generalized Polymatroids	Through the G-Polymatroid Glass and What Unit Commitment Finds There
Genetic algorithms	Quantum Genetic Algorithms for Combinatorial Optimization
geometric inhomogeneous random graphs (GIRGs)	Geometric Routing in Geometric Inhomogeneous Random Graphs
geometric optimal control	Second-order optimality conditions in geometric optimal control
geometric routing	Geometric Routing in Geometric Inhomogeneous Random Graphs
Geometry	Implicit Bias of SGD for Overparametrized Models
geothermal storage	Optimization of the energy consumption of buildings
GPU scheduling	Sensitivity of GPU Scheduling Rules to Runtime Estimation Error
GPUs	Solving Minimum-Cost Flows on GPUs
Gradient Descent	Learning controls in mean games and mean field control problems Optimizing Factorable Losses via a Change of Variable: Properties and Computational Opportunities On convergence rates of subgradient descent on semialgebraic functions
Gradient Norm	Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization
Gradient of failure probability	Second-Order Reliability Method based on Gram-Charlier A series with analytical Gradient and Hessian of failure probability
graph intervention	SS-TEA: Search-Supervised Transformer Edge Addition for Black-Box Graph Intervention
graph partitioning	Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks
graph theory	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League
Graphs	A Clustered Team Orienteering Problem with Synchronization
greedy routing	Geometric Routing in Geometric Inhomogeneous Random Graphs
Greenhouse gas emissions	Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization
H
H-duality	Limited-Memory First-Order Methods and H-Duality
Hadamard--Perron theorem	Convergence of Optimizers Implies Eigenvalues Filtering at Equilibrium
Hamilton--Jacobi--Bellman equation	Stochastic Inflows and Seasonal Water Value at Manantali
Hamilton-Jacobi equations	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations From Random Games to Deterministic Limits: A Differential-Game Approach to Homogenization
Hamilton-Jacobi-Isaacs equations	Parametric Physics Informed Neural Network for the Finite Horizon classical Lady-in-the-Lake Pursuit-Evasion Differential Game
Hessian of failure probability	Second-Order Reliability Method based on Gram-Charlier A series with analytical Gradient and Hessian of failure probability
High dimensional geometry	A Unified alpha-Procrustes geometry for finite- and infinite-dimensional positive operators
High-dimensional PDEs	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations
high-frequency trading	Opportunities in Algorithmic Trading for Battery Energy Storage in Short-Term Electricity Markets
HJB equations on the space of probability measures	On the notion of Wasserstein BSDE and its applications
homogenization	Topology optimization of PEMFC channels using a deshomogenization method
Hospital inventory management	Optimizing Hospital Procurement Decisions: The Case of a University Hospital
hub location
hybrid genetic search	EvoHGS: Co-evolving Language Models with Hybrid Genetic Search for Vehicle Routing Problems
Hydro Unit Commitment	Target-Volume Formulations in the Hydro Unit Commitment Problem Branch-and-Cut en 2 phases pour gérer les symétries polyédrales, application au 1-HUC
Hydro-thermal Scheduling	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
hydropower	Stochastic Inflows and Seasonal Water Value at Manantali
I
Imitation learning	Online Design of Dynamic Networks
Implicit bias	Convergence of Optimizers Implies Eigenvalues Filtering at Equilibrium Implicit Bias of SGD for Overparametrized Models
implicit differentiation	Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
improvement	An alternative exploration of the solutions space for the Travelling Salesman Problem leveraging a warm-start and a preserving mixer to extend a recent proposal
In-Network Learning	Combinatorial Optimization for Energy-Efficient In-Network Learning
Incentive Policies	Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies
Industrial heat	Coupled Investments in SMRs and Industrial Sites: a Real Options Analysis
inertial dynamics	Monotone Inclusions for Decision-Dependent Stochastic Problems
Infeasibility	A New Solution Concept for Games Allowing for Infeasibility
infinite-dimensional control	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
Infinite-dimensional PDE	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
information acquisition	Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound
information more valuable	What Makes Information More Valuable? An Answer With Convex Analysis
Integer Linear Programming	A Clustered Team Orienteering Problem with Synchronization Profit-Optimized Maintenance Task Clustering for Gas-Insulated Substations
Integer Programming	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League Aperiodic Tiling Rhythmic Canons Optimizing Hospital Procurement Decisions: The Case of a University Hospital Quantum Computing for Integer Quadratic Programming Branch-and-Cut en 2 phases pour gérer les symétries polyédrales, application au 1-HUC
intermediate transport	Pricing for Real-Time Ride-Sharing with Random Demand and Supply
interval min max regret	Graph powers for robust optimization
interval variables	Stronger Decomposition Cuts for Stochastic Unit Commitment Using Interval Variables
intraday power market	Opportunities in Algorithmic Trading for Battery Energy Storage in Short-Term Electricity Markets
Intraday trading	Convex optimization in intraday electricity markets Statistics and optimization in intraday electricity markets
Inverse optimization	Nodal-Aware Flow-Based Capacity Calculation Through Bilevel Inverse Optimization
Isometric group actions	Implicit Bias of SGD for Overparametrized Models
J
Joint chance constraints	ProbLiM: A Julia Toolbox for Linear Problems with Chance Constraints
K
K-means clustering	Multimodal Optimization of K-means Clustering
K-medoids	On the Explainability of Max-Plus Neural Networks
knapsack problem	Optimizing Muli-Year Investment Planning for Electricity Distribution Grid Resilience
L
L-smooth regularity	Probability Maximization via Marginal Assesment of Joint Uncertainties
Lady-in-the-Lake problem	Parametric Physics Informed Neural Network for the Finite Horizon classical Lady-in-the-Lake Pursuit-Evasion Differential Game
Lagrangian relaxation	Lagrangian heuristic for a food lot-sizing problem
Langevin Dynamics	Implicit Bias of SGD for Overparametrized Models
large language models	EvoHGS: Co-evolving Language Models with Hybrid Genetic Search for Vehicle Routing Problems
Large Scale Optimization	Decomposition of Convex Large Scale Stochastic Optimization Problems
Learning	Survival of Dominated Strategies under Standard No-Regret Dynamics Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies
least squares	When does residual minimization solve a differential equation?
Lie groups	Metric limits of sub-Finsler Lie groups
Life cycle assessment	Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization
limited information	Collective Algorithms for Exploration and Decision-Making
Limited-Memory Algorithm	Limited-Memory First-Order Methods and H-Duality
Linear analytical model	Linear Analytical Model for Static Traffic Assignment: Explicit Formulation and Optimization-Oriented Applications
Linear Complementarity Problems	Chance-constrained Linear Complementarity Problems
Linear programming	ProbLiM: A Julia Toolbox for Linear Problems with Chance Constraints Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Lipschitz Stratifications	On convergence rates of subgradient descent on semialgebraic functions
local energy market	An Automated Market Maker for Energy Sharing: From Theory to Verifiable Settlement
Logarithmic qubit encoding	Quantum Genetic Algorithms for Combinatorial Optimization
Long-time behavior	Consensus-Based Optimization Beyond Finite-Time Analysis
lookback problem	Adjoint-based Optimality Conditions for a Probability Maximization Problem
Lot-sizing	Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound Lagrangian heuristic for a food lot-sizing problem
Low-rank optimization	Rank-Adaptive Tensorized Neural Operators for PDE-Constrained Optimization
Lower Bounds	Can Acceleration in Gradient-Norm Minimization Be Anytime? Sharp Last-Iterate Limits in Smooth Convex Optimization
M
machine learning	Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization Using statistical learning in Operations Research: Generalization Bounds and Diffusion Models Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
Maintenance Optimization	A Fluid Optimization Approach for Decomposable MDPs with Combinatorial Actions: Application to Offshore Substation Maintenance
Manipulation	Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies
many-objective optimization	Full-Dimensional Many-Objective Benchmarks for Discrete Multi-Objective Optimization
Markov chain	Statistics and optimization in intraday electricity markets
Markov Decision Process	A Fluid Optimization Approach for Decomposable MDPs with Combinatorial Actions: Application to Offshore Substation Maintenance Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints
mathematical decomposition	BundleSolver 2.0: A Modular Implementation of Generalized Bundle Methods
Mathematical music	Aperiodic Tiling Rhythmic Canons
Mathematical programming	A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
Matrix Decomposition	Matrix-based Scenario Aggregation for Two-Stage Stochastic Programs: From Partitions to Subspaces
matrix optimization	Exact Extremal Optimization for Wrong-Sign Entries in Equal-Diagonal Symmetric Matrices
Max-plus neural networks	On the Explainability of Max-Plus Neural Networks
mean field control	Learning controls in mean games and mean field control problems Regularization by Common Noise for Mean Field Games and Mean Field Control
Mean field control and games	On the notion of Wasserstein BSDE and its applications
Mean field games	Regularization by Common Noise for Mean Field Games and Mean Field Control
Mean field games of controls	Learning controls in mean games and mean field control problems
Mean field optimization	A conditional gradient approach to regularized mean field optimization problems
mean-field analysis	Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
mean-field control	Long-time behavior of optimal particle systems in mean-field control
mean-field game	An Automated Market Maker for Energy Sharing: From Theory to Verifiable Settlement
Mean-payoff games	Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Memetic algorithms	A Fresh Look at Lamarckian Evolution and the Baldwin Effect
merit function	A New Bi-Objective View of Bundle Methods
Microgrid energy management	Decision-Focused Policies for Microgrid Energy Management
minimal time	Sensitivity analysis for free time horizon problems in Wassserstein spaces
minimal-norm solutions	Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
Minkowski addition	What Makes Information More Valuable? An Answer With Convex Analysis
Mixed Integer Linear Programming	Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization Integrated Model for Optimization and Machine Learning: the Case of Predictive Maintenance
Mixed integer nonlinear programming	Combinatorial Optimization in Function Space
mixed integer optimization	Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization
mixed-integer linear programming	Surrogate-Based Optimization for Adversarial Sonar Placement Piecewise linear approximation for the hydro unit commitment problem
Mixed-integer linear programming (MILP)	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
mixed-integer nonlinear programming	Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
Mixed-Integer Programming	On $\ell_0$-Regularized Sparse Multiple Kernel Learning for Feature Selection A Branch&Check approach for Selecting Multi-Site Balancing Entities
mixer	A mixer for minimization of function with constraint
model predictive control	Performance of Deterministic and Stochastic Model Predictive Control
Modelling	Generating electricity with a kite -- optimization and bifurcation analysis
modulated free energy	Long-time behavior of optimal particle systems in mean-field control
MOEA/D	Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh
Moment-SOS Hierarchy	Some curiosities about the convergence of the Moment-SOS hierarchy
Moment-SOS Relaxations	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
monotone finite-difference schemes	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations
monotone inclusions	Monotone Inclusions for Decision-Dependent Stochastic Problems
Monte Carlo tree search	Online Design of Dynamic Networks
Most Probable Point of failure	Second-Order Reliability Method based on Gram-Charlier A series with analytical Gradient and Hessian of failure probability
Multi-agent Optimization	Decomposition of Convex Large Scale Stochastic Optimization Problems
multi-objective optimization	Combining Optimal LEZ scheduling and EV Purchase Incentives for Transport Policy Backcasting A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh What is the Objective? Investigating Design Decisions in Continuous Multi-Objective Optimization Specification of the GDEMO-II Variant for Box Archiving Quantum Approaches to Multi-Objective Optimization
Multi-stage Stochastic Optimization Problem Distributed Optimization	Distributed Optimization for Hydro-thermal Scheduling using ADMM Framework
Multimodal optimization	Multimodal Optimization of K-means Clustering
N
Nash games	Computing Projected solutions of Nash games : from theory to electricity markets
Network design	Online Design of Dynamic Networks
network flow	Robotaxi Dispatching with Endogenous En-route Times
Network Flows	Solving Minimum-Cost Flows on GPUs
network optimization	Optimization of the energy consumption of buildings Optimizing Muli-Year Investment Planning for Electricity Distribution Grid Resilience
network pricing	Single-Level Reformulations for Network Pricing under Wardrop Equilibrium with Separable Affine Costs
network sensitivities	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
neural feedback control	Neural Feedback Learning for Stochastic Control with Degenerate Diffusions: Quantitative Error Estimates and Numerical Experiments
Neural Networks
Neural operators	Rank-Adaptive Tensorized Neural Operators for PDE-Constrained Optimization
No-regret	Survival of Dominated Strategies under Standard No-Regret Dynamics
non-availability periods	Anchor Robustness and Resource Leveling in Project Scheduling
Non-convex optimization	Benign Landscape Of Nonconvex Low-dimensional Relaxation Of Orthogonal Synchronization With Group-symmetric Dual Certificates
Non-global local minima	Landscape Analysis for Shallow Neural Networks: Complete Classification of Critical Points for Cubic Activation and Affine Target Functions
Non-Intrusive Load Monitoring	Benchmarking Deep Learning Architectures for Industrial Non-Intrusive Load Monitoring: Performance, Training Efficiency, and Granularity
non-uniform grids	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations
nonconvex optimization	Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption Exact Extremal Optimization for Wrong-Sign Entries in Equal-Diagonal Symmetric Matrices Robotaxi Dispatching with Endogenous En-route Times Convergence rates for the moment-SoS hierarchy
Nonconvex proximal	Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
nonlinear control systems	Second-order optimality conditions in geometric optimal control
Nonlinear programming	Interior-point methods for large-scale equilibrium problems
nonsmooth convex optimization	A New Bi-Objective View of Bundle Methods BundleSolver 2.0: A Modular Implementation of Generalized Bundle Methods
nonsmooth optimization	Convergence of empirical subgradients for optimal transport-based objectives The adjoint state method for parametric definable optimization without smoothness or uniqueness
NSGA-II	Combining Optimal LEZ scheduling and EV Purchase Incentives for Transport Policy Backcasting
Nuclear Outage Planning	Scheduling of Nuclear Power Plant Outages under Duration Uncertainty
Numerical Algorithm Design	Limited-Memory First-Order Methods and H-Duality
Numerical analysis	A conditional gradient approach to regularized mean field optimization problems
numerical method	Learning controls in mean games and mean field control problems
O
o-minimal geometry	The adjoint state method for parametric definable optimization without smoothness or uniqueness
online algorithms	Collective Algorithms for Exploration and Decision-Making
online convex optimization	Optimized Projection-Free Algorithms for Online Learning: Construction and Worst-Case Analysis
online Frank--Wolfe	Optimized Projection-Free Algorithms for Online Learning: Construction and Worst-Case Analysis
Online Learning	Online Combinatorial Learning with Causal Rescheduling for EV Charging
Operations Management	A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
Operations research in healthcare	Optimizing Hospital Procurement Decisions: The Case of a University Hospital
opimization	A mixer for minimization of function with constraint
optimal control	Optimal control under uncertainty for relative guidance during orbital rendezvous Robust stochastic optimization with risk-averse constraints via variance penalization and operator splitting The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations Superposition Principles for Perturbed Sweeping Processes and Differential Inclusions Combining Optimal LEZ scheduling and EV Purchase Incentives for Transport Policy Backcasting Wasserstein-Fisher-Rao differential calculus and optimal control of weighted particle systems Combinatorial Optimization in Function Space
Optimal control under uncertainty	Adjoint-based Optimality Conditions for a Probability Maximization Problem
optimal grid - distributed energy resource coordination	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
Optimal policies	Stochastic analysis of an emergency service with two levels sharing the servers
Optimal Power Flow	Optimal Power flow in Transmission Networks: a Spectral Graph Theory approach A Branch&Check approach for Selecting Multi-Site Balancing Entities
Optimal trading	Trading with market resistance and concave price impact
Optimal transport	Convergence of empirical subgradients for optimal transport-based objectives Superposition Principles for Perturbed Sweeping Processes and Differential Inclusions A Unified alpha-Procrustes geometry for finite- and infinite-dimensional positive operators
Optimality Conditions	Chance-constrained Linear Complementarity Problems
Optimization	Attention based mechanisms in clustering and PCA A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms Optimizing Factorable Losses via a Change of Variable: Properties and Computational Opportunities Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled Regularization Integrated Model for Optimization and Machine Learning: the Case of Predictive Maintenance
Optimization Algorithms	opt-syn: Analysis and Synthesis of First-Order Algorithms
optimization and learning	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
Optimization landscape	Landscape Analysis for Shallow Neural Networks: Complete Classification of Critical Points for Cubic Activation and Affine Target Functions
OR in sports	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League
orbital rendezvous	Optimal control under uncertainty for relative guidance during orbital rendezvous
Order book	Statistics and optimization in intraday electricity markets
Oriented matroids	Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
overparameterized limit	Global Convergence of Second-Order Methods for Physics-Informed Neural Networks
P
Parallel-machine scheduling	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
parameter control	Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning
parameterized algorithms	Parameterized Complexity for Segment Routing
parameterized trial spaces	When does residual minimization solve a differential equation?
parametric optimization	The adjoint state method for parametric definable optimization without smoothness or uniqueness
Parametric PINNs	Parametric Physics Informed Neural Network for the Finite Horizon classical Lady-in-the-Lake Pursuit-Evasion Differential Game
Parity games	Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Partial differential equation	Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks
Partition-function-form games	Market Equilibrium based Co-Opetitive Infrastructure Sharing
Path-lifting	Path-conditioned training: a principled way to rescale ReLU neural networks
PCA	Attention based mechanisms in clustering and PCA
PDE-constrained optimization	Rank-Adaptive Tensorized Neural Operators for PDE-Constrained Optimization
PDEs	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
Penalty Method	A New Solution Concept for Games Allowing for Infeasibility
performance estimation	Computer-Aided Proofs in First-Order Optimization, with Applications to Error Feedback Simple Proofs, and How to Find Them
Performance Estimation Problem	Optimized Projection-Free Algorithms for Online Learning: Construction and Worst-Case Analysis
Performance Evaluation	What is the Objective? Investigating Design Decisions in Continuous Multi-Objective Optimization
performative prediction	Monotone Inclusions for Decision-Dependent Stochastic Problems
Phase retrieval	Trust-region methods for Burer-Monteiro factorizations of phase retrieval problems
physics-informed neural network	Global Convergence of Second-Order Methods for Physics-Informed Neural Networks
physics-informed neural networks	Parametric Physics Informed Neural Network for the Finite Horizon classical Lady-in-the-Lake Pursuit-Evasion Differential Game When does residual minimization solve a differential equation?
piecewise linear approximation	Piecewise linear approximation for the hydro unit commitment problem
plan4res	Stochastic Inflows and Seasonal Water Value at Manantali
policy backcasting	Combining Optimal LEZ scheduling and EV Purchase Incentives for Transport Policy Backcasting
Policy Gradient	Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled Regularization
Polyak–Łojasiewicz inequality	Solving Hamilton-Jacobi equations by residual minimization of monotone finite-difference discretizations
Polyhedral	Branch-and-Cut en 2 phases pour gérer les symétries polyédrales, application au 1-HUC
Polynomial neural networks	Landscape Analysis for Shallow Neural Networks: Complete Classification of Critical Points for Cubic Activation and Affine Target Functions
Polynomial Optimization	Some curiosities about the convergence of the Moment-SOS hierarchy Sparse Relaxations and Learned Structure for Large-Scale Polynomial Optimization
Pontryagin maximum principle	Pontryagin maximum principle for non-smooth state-constrained control problems over Wasserstein spaces Sensitivity analysis for free time horizon problems in Wassserstein spaces
Pontryagin-type optimality conditions	Adjoint-based Optimality Conditions for a Probability Maximization Problem
Pooling in Logistics	Pricing for Deliveries Pooling
Portfolio optimization	Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks
Power Distribution Network	Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty
power source	Topology optimization of PEMFC channels using a deshomogenization method
power transmission network	Optimal Power flow in Transmission Networks: a Spectral Graph Theory approach
power-law decay	Trading with market resistance and concave price impact
powers of Hamiltonian cycle	Graph powers for robust optimization
Pre-conditioning	Path-conditioned training: a principled way to rescale ReLU neural networks
Preconditioning	Optimizing Factorable Losses via a Change of Variable: Properties and Computational Opportunities
Predictive maintenance	Profit-Optimized Maintenance Task Clustering for Gas-Insulated Substations Integrated Model for Optimization and Machine Learning: the Case of Predictive Maintenance
Preference Elicitation	Deterrence of Manipulation through Preference Elicitation in Personalized Incentive Policies
Pricing	Choice-Based Dynamic Pricing with Deferred Departures in Bike-Sharing Networks
Pricing competition	Competitive Menu Pricing for Electric Vehicle Charging Stations
Primal-Dual Hybrid Gradient	Solving Minimum-Cost Flows on GPUs
probability functions	Adjoint-based Optimality Conditions for a Probability Maximization Problem
Probability maximization	Probability Maximization via Marginal Assesment of Joint Uncertainties
Probability of failure	Second-Order Reliability Method based on Gram-Charlier A series with analytical Gradient and Hessian of failure probability
projected solutions	Computing Projected solutions of Nash games : from theory to electricity markets
proof complexity	Simple Proofs, and How to Find Them
propagation of chaos	Long-time behavior of optimal particle systems in mean-field control Consensus-Based Optimization Beyond Finite-Time Analysis
propagator model	Trading with market resistance and concave price impact
Public transport	Online Design of Dynamic Networks
Pursuit-evasion differential games	Parametric Physics Informed Neural Network for the Finite Horizon classical Lady-in-the-Lake Pursuit-Evasion Differential Game
Q
Quadratic Programming	Quantum Computing for Integer Quadratic Programming
Quadratic Regularisation	Quadratically Regularised Wasserstein Medians
quantitative stability
Quantum	An alternative exploration of the solutions space for the Travelling Salesman Problem leveraging a warm-start and a preserving mixer to extend a recent proposal
Quantum Approximate Optimization Algorithm	A Complex-Valued Continuous-Variable Quantum Approximation Optimization Algorithm (CCV-QAOA)
Quantum computing	Quantum Approaches to Multi-Objective Optimization Quantum Computing for Integer Quadratic Programming
Quantum machine learning	Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks
Quantum optimization	Quantum Genetic Algorithms for Combinatorial Optimization
Quantum Physics-Informed Neural Network	Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks
QUBO
R
Random environment	Large-Scale Analysis of Multi-Scale Queuing Networks for Car-Sharing Systems
random environments	From Random Games to Deterministic Limits: A Differential-Game Approach to Homogenization
Random extrapolation	Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
Random Search Heuristics	Online Algorithm Selection: from Foundations to Applications
real algebraic geometry	Convergence rates for the moment-SoS hierarchy
Real options	Coupled Investments in SMRs and Industrial Sites: a Real Options Analysis
Reconfiguration	Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty
regularization
regularization by noise	Regularization by Common Noise for Mean Field Games and Mean Field Control
Reinforcement Learning	Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with f-SoftArgmax Parameterization & Coupled Regularization Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning Reinforcement Learning for Solving Multimodal Functions with CMA-ES
Relaxation	Decomposition of Convex Large Scale Stochastic Optimization Problems
Relaxation Gap	The Moment-SOS Hierarchy: Applications to Reaction-Diffusion PDEs and Navier--Stokes Equations
ReLU Neural networks	Path-conditioned training: a principled way to rescale ReLU neural networks
Reproducing kernel Hilbert space	Controlled Screening for Smooth Objectives
Rescaling symmetries	Path-conditioned training: a principled way to rescale ReLU neural networks
residual minimization	When does residual minimization solve a differential equation?
resource leveling	Anchor Robustness and Resource Leveling in Project Scheduling
Restarts	What is the Objective? Investigating Design Decisions in Continuous Multi-Objective Optimization
Revenue Management	Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints
Reverse Supply Chain	A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
ride-sharing	Pricing for Real-Time Ride-Sharing with Random Demand and Supply
Risk management	Coupled Investments in SMRs and Industrial Sites: a Real Options Analysis
risk-averse constraints	Robust stochastic optimization with risk-averse constraints via variance penalization and operator splitting
robotaxi dispatching	Robotaxi Dispatching with Endogenous En-route Times
Robust Control	opt-syn: Analysis and Synthesis of First-Order Algorithms
robust optimization	Robust stochastic optimization with risk-averse constraints via variance penalization and operator splitting Graph powers for robust optimization
Robust sensor placement	Surrogate-Based Optimization for Adversarial Sonar Placement
Rolling Horizon	Choice-Based Dynamic Pricing with Deferred Departures in Bike-Sharing Networks
runtime analysis	A Fresh Look at Lamarckian Evolution and the Baldwin Effect A Crowding Distance That Provably Solves the Difficulties of the NSGA-II in Many-Objective Optimization Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh Full-Dimensional Many-Objective Benchmarks for Discrete Multi-Objective Optimization Specification of the GDEMO-II Variant for Box Archiving Online Algorithm Selection: from Foundations to Applications
S
SAT Encoding	Aperiodic Tiling Rhythmic Canons
Satisfiability Problem	On the Complexity of some Unicity Problems
Scenario Aggregation	Matrix-based Scenario Aggregation for Two-Stage Stochastic Programs: From Partitions to Subspaces
scheduling	Anchor Robustness and Resource Leveling in Project Scheduling
Scheduling of Nuclear units	Scheduling of Nuclear Power Plant Outages under Duration Uncertainty
Scientific machine learning	Rank-Adaptive Tensorized Neural Operators for PDE-Constrained Optimization
seasonal storage valuation	Stochastic Inflows and Seasonal Water Value at Manantali
second-order optimality conditions	Second-order optimality conditions in geometric optimal control
second-order optimizer	Global Convergence of Second-Order Methods for Physics-Informed Neural Networks
Second-Order Reliability Method	Second-Order Reliability Method based on Gram-Charlier A series with analytical Gradient and Hessian of failure probability
segment routing	Parameterized Complexity for Segment Routing
Semi-definite Programming	Some curiosities about the convergence of the Moment-SOS hierarchy
Semialgebraic	On convergence rates of subgradient descent on semialgebraic functions
Semidefinite programming	Spectral-Gauge Cuts for Semidefinite Optimization Optimized Projection-Free Algorithms for Online Learning: Construction and Worst-Case Analysis
Senegal river	Stochastic Inflows and Seasonal Water Value at Manantali
Sensitivity Analysis	A Branch&Check approach for Selecting Multi-Site Balancing Entities Sensitivity analysis for free time horizon problems in Wassserstein spaces
separable additive utility	What Makes Information More Valuable? An Answer With Convex Analysis
Shallow neural networks	Landscape Analysis for Shallow Neural Networks: Complete Classification of Critical Points for Cubic Activation and Affine Target Functions
Sharpness-aware minimization	Convergence of Optimizers Implies Eigenvalues Filtering at Equilibrium
Shooting	Generating electricity with a kite -- optimization and bifurcation analysis
shortest path algorithm	Optimizing Muli-Year Investment Planning for Electricity Distribution Grid Resilience
Simple Bilevel Programming	On Stochastic Nonconvex Bilevel Optimization
simple proofs	Simple Proofs, and How to Find Them
simulation	Sensitivity of GPU Scheduling Rules to Runtime Estimation Error Pricing for Real-Time Ride-Sharing with Random Demand and Supply
simulation-based policy evaluation	Optimization of the energy consumption of buildings
single-level reformulation	Single-Level Reformulations for Network Pricing under Wardrop Equilibrium with Separable Affine Costs
single-plant hydro unit commitment	Piecewise linear approximation for the hydro unit commitment problem
Skewed distributions	Eventual convexity for separable chance constraints with skewed generalized hyperbolic random variables
sliced Wasserstein	Convergence of empirical subgradients for optimal transport-based objectives
small-world phenomenon	Geometric Routing in Geometric Inhomogeneous Random Graphs
Software	opt-syn: Analysis and Synthesis of First-Order Algorithms
SoS programming	Convergence rates for the moment-SoS hierarchy
Sparse Linear Algebra	Solving Minimum-Cost Flows on GPUs
Sparse principal component analysis	Spectral-Gauge Cuts for Semidefinite Optimization
sparse relaxations	Sparse Relaxations and Learned Structure for Large-Scale Polynomial Optimization
Sparse-Multiple-Kernel-Learning	On $\ell_0$-Regularized Sparse Multiple Kernel Learning for Feature Selection
Sparsity	Controlled Screening for Smooth Objectives
spatial branch-and-bound	Robotaxi Dispatching with Endogenous En-route Times
spatiotemporal marginal costs	Towards Dynamic and Adaptive Tariffs in Electricity Distribution Networks
SPD Networks	Black-box adversarial attacks on SPD Networks
spectral graph theory	Optimal Power flow in Transmission Networks: a Spectral Graph Theory approach
spectral optimization	Exact Extremal Optimization for Wrong-Sign Entries in Equal-Diagonal Symmetric Matrices
speed-up	Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Upsh
SPG algorithm	Numerical bounds for European option prices in uncertainty volatility model
splitting operators	Robust stochastic optimization with risk-averse constraints via variance penalization and operator splitting
sports scheduling	Drawing and Scheduling Incomplete Tournaments with Seeding Constraints: the Case of the UEFA Champions League
stabilizer	A mixer for minimization of function with constraint
State constraints	Optimal control under uncertainty for relative guidance during orbital rendezvous Pontryagin maximum principle for non-smooth state-constrained control problems over Wasserstein spaces
Static traffic assignment	Linear Analytical Model for Static Traffic Assignment: Explicit Formulation and Optimization-Oriented Applications
statistical learning	Controlled Screening for Smooth Objectives Using statistical learning in Operations Research: Generalization Bounds and Diffusion Models
stochastic control	Online Design of Dynamic Networks Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
stochastic demand	Pricing for Real-Time Ride-Sharing with Random Demand and Supply
stochastic dual dynamic programming	Stochastic Inflows and Seasonal Water Value at Manantali
stochastic forward-backward	Convergence Rates for Stochastic Proximal Methods via Regularized Optimality Gaps
Stochastic gradient ascent	Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
stochastic homogenization	From Random Games to Deterministic Limits: A Differential-Game Approach to Homogenization
stochastic inflow modelling	Stochastic Inflows and Seasonal Water Value at Manantali
Stochastic networks	Large-Scale Analysis of Multi-Scale Queuing Networks for Car-Sharing Systems
stochastic optimal control	Decomposition of Convex Large Scale Stochastic Optimization Problems Optimization of the energy consumption of buildings Neural Feedback Learning for Stochastic Control with Degenerate Diffusions: Quantitative Error Estimates and Numerical Experiments
Stochastic Optimization	Blackbox Optimization for Active Distribution Networks Reconfiguration under Uncertainty Robust stochastic optimization with risk-averse constraints via variance penalization and operator splitting On Stochastic Nonconvex Bilevel Optimization Probability Maximization via Marginal Assesment of Joint Uncertainties Decomposition of Convex Large Scale Stochastic Optimization Problems Stronger Decomposition Cuts for Stochastic Unit Commitment Using Interval Variables Decision-Focused Policies for Microgrid Energy Management Decision-Focused Learning for Dynamic Inventory Replenishment under Production Constraints Around distributional robustness and generalization in stochastic optimization
Stochastic Programming	A Fluid Optimization Approach for Decomposable MDPs with Combinatorial Actions: Application to Offshore Substation Maintenance Probing-Enhanced Stochastic Programming: Structural Dominance, Stability, and Approximate Branch-and-Bound Choice-Based Dynamic Pricing with Deferred Departures in Bike-Sharing Networks
Stochastic proximal point	Convergence Rates for Stochastic Proximal Methods via Regularized Optimality Gaps
stochastic supply	Pricing for Real-Time Ride-Sharing with Random Demand and Supply
strong Legendre condition	Second-order optimality conditions in geometric optimal control
Sub-Finsler geometry	Metric limits of sub-Finsler Lie groups
sub-Riemannian goemetry
subdifferential convergence	Convergence of empirical subgradients for optimal transport-based objectives
Subgradient optimization	On the Explainability of Max-Plus Neural Networks
superposition principle	Superposition Principles for Perturbed Sweeping Processes and Differential Inclusions
Supply chain	A mathematical programming formulation for generalized supply chains A mathematical programming formulation for generalized supply chains - Industrial and Economic mechanisms
Supply chain and logistics	Scheduling for "Ramasse": How to Collect Goods on the Rungis International Market
Surrogate optimization	Surrogate-Based Optimization for Adversarial Sonar Placement
Surrogate-based optimization	Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization
Survival	Survival of Dominated Strategies under Standard No-Regret Dynamics
sweeping process	Superposition Principles for Perturbed Sweeping Processes and Differential Inclusions
Symmetric gauges	Spectral-Gauge Cuts for Semidefinite Optimization
symmetric matrices	Exact Extremal Optimization for Wrong-Sign Entries in Equal-Diagonal Symmetric Matrices
Symmetries	Optimizing Factorable Losses via a Change of Variable: Properties and Computational Opportunities Branch-and-Cut en 2 phases pour gérer les symétries polyédrales, application au 1-HUC
Synchronization	Benign Landscape Of Nonconvex Low-dimensional Relaxation Of Orthogonal Synchronization With Group-symmetric Dual Certificates A Clustered Team Orienteering Problem with Synchronization
Synthetic data generation	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
T
Tariff-setting problem	Interior-point methods for large-scale equilibrium problems
Task grouping	Profit-Optimized Maintenance Task Clustering for Gas-Insulated Substations
Tensor trains	Rank-Adaptive Tensorized Neural Operators for PDE-Constrained Optimization
Theoretical Deep Learning	Attention based mechanisms in clustering and PCA
Theory	Online Algorithm Selection: from Foundations to Applications
Theory of Machine Learning	Attention based mechanisms in clustering and PCA
Tikhonov regularization	Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
Tiling Rhythmic	Aperiodic Tiling Rhythmic Canons
Time-of-use pricing	Joint Design of Time-of-Use Schedules and Price Levels: a Bilevel Model with Client Participation and Load Flexibility
topology optimization	Topology optimization of PEMFC channels using a deshomogenization method
Total cost of ownership	Feasibility, Cost, and Environmental Assessment of Heavy Duty Truck Fleet Electrification via Mixed Integer Optimization
traffic engineering	Parameterized Complexity for Segment Routing
Traffic equilibrium	Linear Analytical Model for Static Traffic Assignment: Explicit Formulation and Optimization-Oriented Applications
Training dynamics	Path-conditioned training: a principled way to rescale ReLU neural networks
Transformer	SS-TEA: Search-Supervised Transformer Edge Addition for Black-Box Graph Intervention
Transport optimization	Linear Analytical Model for Static Traffic Assignment: Explicit Formulation and Optimization-Oriented Applications
Tropical geometry	Comparing Linear Programming and Mean-Payoff Games via Oriented Matroids
Trust-region algorithms	Trust-region methods for Burer-Monteiro factorizations of phase retrieval problems
TSP	An alternative exploration of the solutions space for the Travelling Salesman Problem leveraging a warm-start and a preserving mixer to extend a recent proposal
turnpike	Performance of Deterministic and Stochastic Model Predictive Control
turnpike phenomenon	Long-time behavior of optimal particle systems in mean-field control
two-stage robustness	Anchor Robustness and Resource Leveling in Project Scheduling
Two-Stage Stochastic Program	Scheduling of Nuclear Power Plant Outages under Duration Uncertainty
Two-Stage Stochastic Programming	Matrix-based Scenario Aggregation for Two-Stage Stochastic Programs: From Partitions to Subspaces
U
unbalanced optimal transport	Wasserstein-Fisher-Rao differential calculus and optimal control of weighted particle systems
uncertain processing times	Sensitivity of GPU Scheduling Rules to Runtime Estimation Error
Uncertain Volatility Model	Numerical bounds for European option prices in uncertainty volatility model
Unicity of Solution	On the Complexity of some Unicity Problems
uniqueness
Unit Commitment	Stronger Decomposition Cuts for Stochastic Unit Commitment Using Interval Variables
Unit Commitment Problem	Through the G-Polymatroid Glass and What Unit Commitment Finds There
Unsupervised Learning	Attention based mechanisms in clustering and PCA
US-completeness	On the Complexity of some Unicity Problems
V
Valid Inequalities	Combinatorial Optimization for Energy-Efficient In-Network Learning
value of information	What Makes Information More Valuable? An Answer With Convex Analysis
Variable landscape search	Multimodal Optimization of K-means Clustering
variational analysis	The adjoint state method for parametric definable optimization without smoothness or uniqueness
Variational inequalities	Market Equilibrium based Co-Opetitive Infrastructure Sharing
Variational quantum algorithm	Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks
variational quantum algorithms
variational quantum eigensolvers	A Complex-Valued Continuous-Variable Quantum Approximation Optimization Algorithm (CCV-QAOA)
Vehicle routing problems	EvoHGS: Co-evolving Language Models with Hybrid Genetic Search for Vehicle Routing Problems
Volume-preserving diffeomorphisms	Approximate Controllability of Volume-preserving Diffeomorphisms
VRP	A Clustered Team Orienteering Problem with Synchronization
W
Wardrop equilibrium	Single-Level Reformulations for Network Pricing under Wardrop Equilibrium with Separable Affine Costs
Wasserstein Aggregators	Quadratically Regularised Wasserstein Medians
Wasserstein distance	Exact Reformulation for Nonconvex Wasserstein DRO: Application to Day-Ahead Renewable Nomination
Wasserstein space	Sensitivity analysis for free time horizon problems in Wassserstein spaces
Wasserstein spaces	Pontryagin maximum principle for non-smooth state-constrained control problems over Wasserstein spaces
Wasserstein-Fisher-Rao geometry	Wasserstein-Fisher-Rao differential calculus and optimal control of weighted particle systems
water networks	Graph Partitioning and ADMM for Optimal Pump Scheduling in Drinking Water Distribution Networks
Weak MVI	Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
Weibull distribution	Data-Driven Security Assessment of Distribution Grids with Weibull-Based Synthetic Data Generation
weighted particle systems	Wasserstein-Fisher-Rao differential calculus and optimal control of weighted particle systems
wind farm layout optimization	Optimization-Oriented Surrogate Frameworks for Wind Farm Layout Optimization
worst-case analysis
Z
zero knowledge proof	An Automated Market Maker for Energy Sharing: From Theory to Verifiable Settlement
Zeroth order optimization	Consensus-Based Optimization Beyond Finite-Time Analysis

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